Alternatives and similar repositories for deconfounded-lexicon-induction

Users that are interested in deconfounded-lexicon-induction are comparing it to the libraries listed below

• adalmia96 / Cluster-Analysis
  ☆54Updated 3 years ago
• rpryzant / causal-text
  Package for computing causal effects of text (as treatment)
  ☆70Updated 3 years ago
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆170Updated 4 years ago
• valedica / twec
  Training Temporal Word Embeddings with a Compass
  ☆64Updated 2 years ago
• Eric-Wallace / interpretability-tutorial-emnlp2020
  Materials for the EMNLP 2020 Tutorial on "Interpreting Predictions of NLP Models"
  ☆199Updated 4 years ago
• rpryzant / causal-bert-pytorch
  Pytorch implementation of "Adapting Text Embeddings for Causal Inference"
  ☆91Updated 3 years ago
• ahoho / topics
  ☆53Updated last year
• allenai / allentune
  Hyperparameter Search for AllenNLP
  ☆139Updated 2 months ago
• amaiya / causalnlp
  CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.
  ☆146Updated 3 months ago
• vveitch / causal-text-embeddings-tf2
  Tensorflow 2 implementation of Causal-BERT
  ☆71Updated last year
• CogComp / perspectrum
  Perspectrum: a dataset of claims, perspectives and evidence documents
  ☆33Updated 5 years ago
• uclanlp / gn_glove
  Learning Gender-Neutral Word Embeddings
  ☆47Updated 5 years ago
• eaclark07 / sms
  ☆43Updated 5 years ago
• jayded / eraserbenchmark
  A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/
  ☆96Updated 2 years ago
• tongshuangwu / polyjuice
  ☆97Updated 2 years ago
• ddemszky / framing-twitter
  Code for the paper "Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings"
  ☆68Updated 2 years ago
• valentinhofmann / dcwe
  Code for "Dynamic Contextualized Word Embeddings"
  ☆31Updated 3 years ago
• bastings / interpretable_predictions
  Interpretable Neural Predictions with Differentiable Binary Variables
  ☆84Updated 4 years ago
• blei-lab / causal-text-embeddings
  Software and data for "Using Text Embeddings for Causal Inference"
  ☆124Updated 4 years ago
• jacobeisenstein / language-change-tutorial
  Tutorial on computational models of language change
  ☆115Updated 5 years ago
• aetting / lm-diagnostics
  Diagnostic tests for linguistic capacities in language models
  ☆66Updated 3 years ago
• estebandito22 / PyTorchAVITM
  PyTorch Implementation of Autoencoding Variational Inference for Topic Models (Srivastava and Sutton 2017)
  ☆38Updated 5 years ago
• sf-wa-326 / phrase-bert-topic-model
  ☆87Updated 3 years ago
• timoschick / bertram
  This repository contains the code for "BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Representations".
  ☆64Updated 4 years ago
• copenlu / xai-benchmark
  A Diagnostic Study of Explainability Techniques for Text Classification
  ☆67Updated 4 years ago
• INK-USC / hierarchical-explanation-neural-sequence-models
  Source code for "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models", ICLR 2020.
  ☆30Updated 4 years ago
• mainlp / awesome-human-label-variation
  A curated list of awesome datasets with human label variation (un-aggregated labels) in Natural Language Processing and Computer Vision, …
  ☆83Updated last year
• uvavision / Double-Hard-Debias
  [ACL 2020] Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
  ☆27Updated 4 years ago
• john-hewitt / control-tasks
  Repository describing example random control tasks for designing and interpreting neural probes
  ☆32Updated 2 years ago
• kawine / contextual
  How Contextual are Contextualized Word Representations?
  ☆41Updated 5 years ago